Neural networks modeling signal responses and taxol production of cultured Taxus chinensis cells induced by bio-elicitor

Quantitatively describing the signal transduction process is important for understanding the mechanism of signal regulation in cells, and thus, poses both a challenge and an opportunity for chemical and biochemical engineers. An artificial neural network (ANN), in which we took the signal molecules as neural nodes, was constructed to simulate the generation of active oxygen species (AOS) in Taxus chinensis cells induced by a bio-elicitor. The relative contents of AOS in cells predicted by the ANN model agreed well with the experimental data and three notable stages of AOS increase were observed from the 3D figure of AOS generation. The robustness of AOS trajectories indicated that signal regulation in vivo was an integral feedback control model that ensured the adaptation of Taxus chinensis to environmental stress. The artificial neural network was able to predict taxol production as well as determine the optimal concentration of oligosaccharides needed for it.     

冶金能源信息库管理与能耗分析系统的研究

研究了通过计算机建立冶金能源信息库管理与能耗分析系统的相关问题。     

植被散射实验数据的特性分析

本文根据电波所获取的各种樾 射实测数据，分析了它们对不同极化波的响应特性。     

Identification of Hammerstein systems with asymmetric dead-zone nonlinearities using canonical parameterized model

A non-iterative identification method with parameterization of the unknown dead-zone is proposed for Hammerstein systems in presence of asymmetric dead-zone nonlinearities.The canonical parameterized model which is a single expression without segmentation is utilized to describe the dead-zone,based on which a universal-type parametric model can be established to approximate the entire system.This model can be established without separating the nonlinear part from the linear part.The dead-zone parameters and the coefficients in the linear transfer function can be estimated simultaneously according to the proposed algorithm.Numerical experiments are presented to illustrate the effectiveness of the proposed scheme.     

浅谈江西省政务信息网高清视频系统

随着江西省各级政府系统信息化建设的日益发展,现有的政务信息网视频会议系统陈旧落后,无法满足现阶段的工作要求。为满足各级党政机关的会议要求,引进最先进的网络高清视讯技术H.264,建设一套高清视频会议系统,具有重要意义。     

采用B/S架构设计与实现超市配送系统

系统采用B/S架构。整个系统由六大模块构成,分别是人员基本信息管理模块、商品信息管理模块、连锁店管理模块、商品入库管理模块、商品配送管理模块、退出系统模块。整个系统能够独立运行,使用方便,能够及时地分析企业进销存情况,提高工作效率,能给企业带来更大的利益。     

面向应用型人才培养程序设计课程教材改革探讨

根据南通大学独立学院培养应用型人才的目标,学院对高级语言程序设计课程提出了新的要求.为了进行课程改革,文章详细分析了高级语言程序设计课程存在的问题,提出了拟编新教材的具体方案,总结了新编教材所应具备的特色.     

基于循环神经网络的散焦图像去模糊算法

近年来,基于深度学习的运动模糊去除算法得到了广泛关注,然而单幅散焦图像去模糊算法鲜有研究。为针对性地解决单幅图像的散焦模糊问题,提出一种基于循环神经网络的散焦图像去模糊算法。首先级联两个残差网络,分别完成散焦图估计和图像去模糊;随后,为了保证散焦图和清晰图像的深度特征可以更好地跨阶段传播以及阶段内相互作用,在残差网络中引入LSTM（long short-term memory）循环层;最后,整个残差网络进行了多次迭代,迭代过程中网络参数共享。为了训练网络,制作了一个合成散焦图像数据集,每一张散焦图像都包含对应的清晰图像和散焦图。实验结果表明,该算法相较于对比算法在主客观图像质量评价上均有显著优势,在复原结果中具有更锐利的边缘和清晰的细节。对于真实双像素图像散焦模糊数据集DPD,该算法相比DPDNet-Single在峰值信噪比（PSNR）和结构相似性（SSIM）上分别提高了0.77 dB、5.6%,因此所提方法可以有效处理真实场景散焦模糊。     

Comparison of Representative Heuristic Algorithms for Multi-Objective Reservoir Optimal Operation

Heuristic algorithms (HAs) are widely used in multi-objective reservoir optimal operation (MOROO) due to the rapidity of the calculation and simplicity of their design. The literature usually focuses on one or two categories of HAs and simply reviews the state of the art. To provide an overall understanding and a specific comparison of HAs in MOROO, differential evolution (DE), particle swarm optimisation (PSO), and artificial physics optimisation (APO), which serve as typical examples of the three categories of HAs, are compared in terms of the development and applications using a designed experiment. Besides, the general model with constraints and fitness function, and the solution process using a hybrid feasible domain restoration method and penalty function method are also presented. Taking a designed experiment with multiple scenarios, the mean average of the optimal objective function values, the standard deviation of optimal objective function values, the mean average of the computational time, and population diversity are used for comparisons. Results of the comparisons show that (a) the problem of optimal multipurpose reservoir long-term operation is a mathematic programming problem with narrow feasible region and monotonic objective function; (b) it is easy to obtain the same optimal objective function value, but different optimal solutions using HAs; and (c) comparisons do not result in a clear winner, but DE can be more appropriate for MOROO.